Surface ocean pH and buffer capacity: past, present and future

Type Article
Date 2019-12
Language English
Author(s) Jiang Li-QingORCID1, 2, Carter Brendan R.3, 4, Feely Richard A.4, Lauvset Siv K.ORCID5, 6, 7, Olsen AreORCID6, 7
Affiliation(s) 1 : Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, College Pk, MD 20742 USA.
2 : NOAA, Natl Ctr Environm Informat, Silver Spring, MD 20910 USA.
3 : Univ Washington, Joint Inst Study Atmosphere & Oceans, Seattle, WA 98195 USA.
4 : NOAA, Pacific Marine Environm Lab, 7600 Sand Point Way Ne, Seattle, WA 98115 USA.
5 : Bjerknes Ctr Climate Res, NORCE Norwegian Res Ctr, Bergen, Norway.
6 : Univ Bergen, Geophys Inst, Bergen, Norway.
7 : Bjerknes Ctr Climate Res, Bergen, Norway.
Source Scientific Reports (2045-2322) (Nature Publishing Group), 2019-12 , Vol. 9 , P. 18624 (11p.)
DOI 10.1038/s41598-019-55039-4
WOS© Times Cited 9
Abstract

The ocean's chemistry is changing due to the uptake of anthropogenic carbon dioxide (CO2). This phenomenon, commonly referred to as "Ocean Acidification", is endangering coral reefs and the broader marine ecosystems. In this study, we combine a recent observational seawater CO2 data product, i.e., the 6th version of the Surface Ocean CO2 Atlas (1991-2018, similar to 23 million observations), with temporal trends at individual locations of the global ocean from a robust Earth System Model to provide a high-resolution regionally varying view of global surface ocean pH and the Revelle Factor. The climatology extends from the pre-Industrial era (1750 C.E.) to the end of this century under historical atmospheric CO2 concentrations (pre-2005) and the Representative Concentrations Pathways (post-2005) of the Intergovernmental Panel on Climate Change (IPCC)'s 5th Assessment Report. By linking the modeled pH trends to the observed modern pH distribution, the climatology benefits from recent improvements in both model design and observational data coverage, and is likely to provide improved regional OA trajectories than the model output could alone, therefore, will help guide the regional OA adaptation strategies. We show that air-sea CO2 disequilibrium is the dominant mode of spatial variability for surface pH, and discuss why pH and calcium carbonate mineral saturation states, two important metrics for OA, show contrasting spatial variability.

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